{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import re\n",
    "import time\n",
    "import jieba    #分词包\n",
    "import numpy    #numpy计算包\n",
    "import codecs   #codecs提供的open方法来指定打开的文件的语言编码，它会在读取的时候自动转换为内部unicode \n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "from wordcloud import WordCloud#词云包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_one_page(url):#请求函数：获取某一网页上的所有内容\n",
    "    headers = {\n",
    "    'User-agent' : 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',\n",
    "    'Host' : 'weibo.cn',\n",
    "    'Accept' : 'application/json, text/plain, */*',\n",
    "    'Accept-Language' : 'zh-CN,zh;q=0.9',\n",
    "    'Accept-Encoding' : 'gzip, deflate, br',\n",
    "    'Cookie' : 'xxxxx',\n",
    "    'DNT' : '1',\n",
    "    'Connection' : 'keep-alive',\n",
    "    }#请求头的书写，包括User-agent,Cookie等\n",
    "\n",
    "    response = requests.get(url,headers = headers)#利用requests.get命令获取网页html\n",
    "    if response.status_code == 200:#状态为200即为爬取成功\n",
    "        return response.text#返回值为html文档，传入到解析函数当中\n",
    "    return None\n",
    "\n",
    "def parse_one_page(html):#解析html并存入到文档result.txt中\n",
    "    html = str(html)\n",
    "    pattern = re.compile('<span class=\"ctt\">.*?</span>', re.S)\n",
    "    items = re.findall(pattern,html)\n",
    "    result = str(items)\n",
    "\n",
    "    with open('result.txt','a',encoding='utf-8') as fp:\n",
    "        fp.write(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://weibo.cn/comment/IjyshgvhI?uid=7293062537&rl=0&page=200\n",
      "None\n",
      "正在爬取第 201 页评论\n",
      "https://weibo.cn/comment/IjyshgvhI?uid=7293062537&rl=0&page=201\n",
      "None\n",
      "正在爬取第 202 页评论\n",
      "https://weibo.cn/comment/IjyshgvhI?uid=7293062537&rl=0&page=202\n",
      "None\n",
      "正在爬取第 203 页评论\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-f61223cf6c82>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'正在爬取第 %d 页评论'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;31m#parse_one_page(html)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "for i in range(200,694): \n",
    "    url = \"https://weibo.cn/comment/IjyshgvhI?uid=7293062537&rl=0&page=\"+str(i)\n",
    "    print(url)\n",
    "    html = get_one_page(url)\n",
    "    print(html)\n",
    "    print('正在爬取第 %d 页评论' % (i+1))\n",
    "    #parse_one_page(html)\n",
    "    time.sleep(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>评论</th>\n",
       "      <th>性别</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4446651890126660</td>\n",
       "      <td>补充：引用画皮2导演的评价确实有待商榷（因为画皮2早于对赌期），感谢建议，但关于作品和艺人的...</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4446614493763894</td>\n",
       "      <td>看完这个视频最深的感受“当然你可以默默喜欢，资本冰冷无情但效率极高，资本会看到你的每次投票，...</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4446608244115194</td>\n",
       "      <td>开始好奇赵薇</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4446610593814315</td>\n",
       "      <td>最后一句话就是说:不要白嫖</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4446617824046155</td>\n",
       "      <td>杨幂现在的困境其实不是她作为演员所面临的职业生涯瓶颈，而且市场萧条下，大部分影视制作公司同样...</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4446607649187469</td>\n",
       "      <td>杨幂一路走来靠的都是自己的努力，加油</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4446613709627561</td>\n",
       "      <td>其实我觉得，对赌那几年，播的戏，总体看比之前要好。《我是证人》《逆时营救》《绣春刀》，《宝贝...</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4446612212319569</td>\n",
       "      <td>不要默默喜欢！因为讨厌的人不会默默讨厌。说真的嘉行如果没有杨幂，如何空手套资本？</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4446617169997317</td>\n",
       "      <td>看完了，总结嘉行有今天全靠杨幂，杨幂🐮🍺</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4446614128836124</td>\n",
       "      <td>看了感觉杨幂又拼又挺幸运的。但是想提醒一句，杨幂注意身边人吧，从经纪人阶级跨越为总裁的，真的...</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4446628012206642</td>\n",
       "      <td>看完之后越来越心疼她 自己扛起3.1亿的对赌 三年之后不仅完成了对赌 还超额了近一亿 说实话...</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4446614510598445</td>\n",
       "      <td>不要默默喜欢！因为讨厌她的人，不会默默讨厌。</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4446607669813900</td>\n",
       "      <td>前排后面会说比特币吗？在hk金融保卫战的视频里看到了比特币</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4446610946000080</td>\n",
       "      <td>资本永不眠，喜欢你的内容，所以这条回复是我的投票。</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4446616645752234</td>\n",
       "      <td>我倒希望杨幂是大头，起码赚钱了，就怕因为是15年的团队了所以不会去拒绝，张嘉译老师找着合作的...</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4446613416347844</td>\n",
       "      <td>巫师最后表达的不是现在那种饭圈文化，疯狂投票造假行为吧。觉得有的评论理解有误。</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4446614544022324</td>\n",
       "      <td>“你喜欢的明星突然高产大量营业，广告代言接的乱七八糟，好坏剧本全上，可以从资本角度理解” 尤...</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4446659137835942</td>\n",
       "      <td>有些酸🐔是真的酸，能完成对赌的公司少之又少，一个人抗起公司业绩的明星也没有几个，杨幂就是漂亮...</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4446616544674053</td>\n",
       "      <td>评论也不用给粉丝加戏，视频里的内容粉丝大都知道七七八八了，对赌已经完成，是好事情</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4446612828626776</td>\n",
       "      <td>想蹲一个黄晓明夫妇的！！！！！！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4446609612266168</td>\n",
       "      <td>来啦来啦！！！希望我的偶像幂越来越好</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4446612505495752</td>\n",
       "      <td>我幂真好看！！</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4446628833938251</td>\n",
       "      <td>这些都是粉丝知道的，而且时间轴有错误，轧戏是12年的事，14年以后是稳定输出年年都有休息，还...</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4446612564430823</td>\n",
       "      <td>对赌那几年没有串多个剧组，都是12左右</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4446620399447575</td>\n",
       "      <td>从资本的视角，幂姐@杨幂 做到了！想起了当年她发的那条博：“打不死我，就等我慢慢变强大吧”！...</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>4447541539778579</td>\n",
       "      <td>听说有人夸我</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>4446655695118394</td>\n",
       "      <td>《我是证人》当时豆瓣最讨厌的流量主演，评分过13w人，还有6+分的电影，我可以说是唯一一部，...</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4446607657876367</td>\n",
       "      <td>终于等来了男神的更新笔芯</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>4446655971124971</td>\n",
       "      <td>说杨幂这几年演戏不认真的请你们看看《我是证人》《宝贝儿》《三生三世》《扶摇》，别长了一张嘴就...</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4446606969097205</td>\n",
       "      <td>啊啊啊啊终于等到你！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4602</th>\n",
       "      <td>4446607090920863</td>\n",
       "      <td>来了来了</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4603</th>\n",
       "      <td>4446607078551392</td>\n",
       "      <td>前排！！！！！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4604</th>\n",
       "      <td>4446607074808076</td>\n",
       "      <td>我来了</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4605</th>\n",
       "      <td>4446607070593920</td>\n",
       "      <td>前排打卡</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4606</th>\n",
       "      <td>4446607070137783</td>\n",
       "      <td>他來了</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4607</th>\n",
       "      <td>4446607057728695</td>\n",
       "      <td>leileleile</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4608</th>\n",
       "      <td>4446607057519738</td>\n",
       "      <td>来了来了搬好小凳子</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4609</th>\n",
       "      <td>4446607040909507</td>\n",
       "      <td>望穿秋水啊！</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4610</th>\n",
       "      <td>4446607040369691</td>\n",
       "      <td>马上去B站抢第一</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4611</th>\n",
       "      <td>4446607036157837</td>\n",
       "      <td>啊啊啊啊啊特别关注等了好久！！！！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4612</th>\n",
       "      <td>4446607020147530</td>\n",
       "      <td>速来！嘿嘿！终于等到</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4613</th>\n",
       "      <td>4446607003073062</td>\n",
       "      <td>终于。</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4614</th>\n",
       "      <td>4446606981721562</td>\n",
       "      <td>前排！！</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4615</th>\n",
       "      <td>4446606977837069</td>\n",
       "      <td>nan</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4616</th>\n",
       "      <td>4446606977832781</td>\n",
       "      <td>哇  ⊙∀⊙！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4617</th>\n",
       "      <td>4446606969682158</td>\n",
       "      <td>来了！！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4618</th>\n",
       "      <td>4446606969680680</td>\n",
       "      <td>来了来了</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4619</th>\n",
       "      <td>4446606952273119</td>\n",
       "      <td>我的天！更新更新了！！！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4620</th>\n",
       "      <td>4446606948068950</td>\n",
       "      <td>前排</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4621</th>\n",
       "      <td>4446606939914111</td>\n",
       "      <td>来了！</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4622</th>\n",
       "      <td>4446606936311219</td>\n",
       "      <td>好快！</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4623</th>\n",
       "      <td>4446606927291745</td>\n",
       "      <td>我来啦！！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4624</th>\n",
       "      <td>4446606927280421</td>\n",
       "      <td>啊！！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4625</th>\n",
       "      <td>4446606906567467</td>\n",
       "      <td>来了</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4626</th>\n",
       "      <td>4446606906564456</td>\n",
       "      <td>来了！！！</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4627</th>\n",
       "      <td>4446606893620139</td>\n",
       "      <td>第一</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4628</th>\n",
       "      <td>4446606881899660</td>\n",
       "      <td>更新啦</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4629</th>\n",
       "      <td>4446606877113270</td>\n",
       "      <td>第一</td>\n",
       "      <td>f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4630</th>\n",
       "      <td>4446606868374509</td>\n",
       "      <td>可以</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4631</th>\n",
       "      <td>4446606856008025</td>\n",
       "      <td>沙发</td>\n",
       "      <td>m</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4632 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    ID                                                 评论 性别\n",
       "0     4446651890126660  补充：引用画皮2导演的评价确实有待商榷（因为画皮2早于对赌期），感谢建议，但关于作品和艺人的...  m\n",
       "1     4446614493763894  看完这个视频最深的感受“当然你可以默默喜欢，资本冰冷无情但效率极高，资本会看到你的每次投票，...  f\n",
       "2     4446608244115194                                             开始好奇赵薇  f\n",
       "3     4446610593814315                                      最后一句话就是说:不要白嫖  f\n",
       "4     4446617824046155  杨幂现在的困境其实不是她作为演员所面临的职业生涯瓶颈，而且市场萧条下，大部分影视制作公司同样...  m\n",
       "5     4446607649187469                                 杨幂一路走来靠的都是自己的努力，加油  m\n",
       "6     4446613709627561  其实我觉得，对赌那几年，播的戏，总体看比之前要好。《我是证人》《逆时营救》《绣春刀》，《宝贝...  f\n",
       "7     4446612212319569           不要默默喜欢！因为讨厌的人不会默默讨厌。说真的嘉行如果没有杨幂，如何空手套资本？  f\n",
       "8     4446617169997317                               看完了，总结嘉行有今天全靠杨幂，杨幂🐮🍺  f\n",
       "9     4446614128836124  看了感觉杨幂又拼又挺幸运的。但是想提醒一句，杨幂注意身边人吧，从经纪人阶级跨越为总裁的，真的...  f\n",
       "10    4446628012206642  看完之后越来越心疼她 自己扛起3.1亿的对赌 三年之后不仅完成了对赌 还超额了近一亿 说实话...  f\n",
       "11    4446614510598445                             不要默默喜欢！因为讨厌她的人，不会默默讨厌。  f\n",
       "12    4446607669813900                      前排后面会说比特币吗？在hk金融保卫战的视频里看到了比特币  m\n",
       "13    4446610946000080                          资本永不眠，喜欢你的内容，所以这条回复是我的投票。  m\n",
       "14    4446616645752234  我倒希望杨幂是大头，起码赚钱了，就怕因为是15年的团队了所以不会去拒绝，张嘉译老师找着合作的...  f\n",
       "15    4446613416347844            巫师最后表达的不是现在那种饭圈文化，疯狂投票造假行为吧。觉得有的评论理解有误。  f\n",
       "16    4446614544022324  “你喜欢的明星突然高产大量营业，广告代言接的乱七八糟，好坏剧本全上，可以从资本角度理解” 尤...  f\n",
       "17    4446659137835942  有些酸🐔是真的酸，能完成对赌的公司少之又少，一个人抗起公司业绩的明星也没有几个，杨幂就是漂亮...  m\n",
       "18    4446616544674053           评论也不用给粉丝加戏，视频里的内容粉丝大都知道七七八八了，对赌已经完成，是好事情  m\n",
       "19    4446612828626776                                   想蹲一个黄晓明夫妇的！！！！！！  f\n",
       "20    4446609612266168                                 来啦来啦！！！希望我的偶像幂越来越好  f\n",
       "21    4446612505495752                                            我幂真好看！！  m\n",
       "22    4446628833938251  这些都是粉丝知道的，而且时间轴有错误，轧戏是12年的事，14年以后是稳定输出年年都有休息，还...  f\n",
       "23    4446612564430823                                对赌那几年没有串多个剧组，都是12左右  f\n",
       "24    4446620399447575  从资本的视角，幂姐@杨幂 做到了！想起了当年她发的那条博：“打不死我，就等我慢慢变强大吧”！...  f\n",
       "25    4447541539778579                                             听说有人夸我  m\n",
       "26    4446655695118394  《我是证人》当时豆瓣最讨厌的流量主演，评分过13w人，还有6+分的电影，我可以说是唯一一部，...  m\n",
       "27    4446607657876367                                       终于等来了男神的更新笔芯  f\n",
       "28    4446655971124971  说杨幂这几年演戏不认真的请你们看看《我是证人》《宝贝儿》《三生三世》《扶摇》，别长了一张嘴就...  m\n",
       "29    4446606969097205                                         啊啊啊啊终于等到你！  f\n",
       "...                ...                                                ... ..\n",
       "4602  4446607090920863                                               来了来了  f\n",
       "4603  4446607078551392                                            前排！！！！！  f\n",
       "4604  4446607074808076                                                我来了  f\n",
       "4605  4446607070593920                                               前排打卡  f\n",
       "4606  4446607070137783                                                他來了  f\n",
       "4607  4446607057728695                                         leileleile  m\n",
       "4608  4446607057519738                                          来了来了搬好小凳子  f\n",
       "4609  4446607040909507                                             望穿秋水啊！  m\n",
       "4610  4446607040369691                                           马上去B站抢第一  m\n",
       "4611  4446607036157837                                  啊啊啊啊啊特别关注等了好久！！！！  f\n",
       "4612  4446607020147530                                         速来！嘿嘿！终于等到  f\n",
       "4613  4446607003073062                                                终于。  f\n",
       "4614  4446606981721562                                               前排！！  m\n",
       "4615  4446606977837069                                                nan  m\n",
       "4616  4446606977832781                                            哇  ⊙∀⊙！  f\n",
       "4617  4446606969682158                                               来了！！  f\n",
       "4618  4446606969680680                                               来了来了  f\n",
       "4619  4446606952273119                                       我的天！更新更新了！！！  f\n",
       "4620  4446606948068950                                                 前排  f\n",
       "4621  4446606939914111                                                来了！  m\n",
       "4622  4446606936311219                                                好快！  m\n",
       "4623  4446606927291745                                              我来啦！！  f\n",
       "4624  4446606927280421                                                啊！！  f\n",
       "4625  4446606906567467                                                 来了  m\n",
       "4626  4446606906564456                                              来了！！！  f\n",
       "4627  4446606893620139                                                 第一  m\n",
       "4628  4446606881899660                                                更新啦  f\n",
       "4629  4446606877113270                                                 第一  f\n",
       "4630  4446606868374509                                                 可以  m\n",
       "4631  4446606856008025                                                 沙发  m\n",
       "\n",
       "[4632 rows x 3 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv('results.csv').astype('str')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " '三世',\n",
       " '扶摇',\n",
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       " '张嘴',\n",
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       " '啊啊啊',\n",
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       " '搞笑',\n",
       " '一个',\n",
       " '专业版',\n",
       " 'vip',\n",
       " '收服',\n",
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       " '辛苦',\n",
       " '学到',\n",
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       " '三生',\n",
       " '资本',\n",
       " '博弈',\n",
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       " '不过',\n",
       " '目前',\n",
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       " '希望',\n",
       " '完成',\n",
       " '一轮',\n",
       " '之后',\n",
       " '稍微',\n",
       " '一点',\n",
       " '自己',\n",
       " '可以',\n",
       " '选择',\n",
       " '空间',\n",
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       " '直接',\n",
       " '进入',\n",
       " '正题',\n",
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       " '何必',\n",
       " '默默',\n",
       " '喜欢',\n",
       " '徐坤',\n",
       " '超越',\n",
       " '只是',\n",
       " '昙花一现',\n",
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       " '奴婢',\n",
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       " '杨幂',\n",
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       " '晋级',\n",
       " '其实',\n",
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       " '赵薇',\n",
       " '厉害',\n",
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       " '话题',\n",
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       " '不好',\n",
       " '可以',\n",
       " '放在',\n",
       " 'YouTube',\n",
       " '其实',\n",
       " '作品',\n",
       " '杨幂',\n",
       " '努力',\n",
       " '筛选',\n",
       " '姑娘',\n",
       " '以后',\n",
       " '头脑',\n",
       " '当好',\n",
       " '演员',\n",
       " '肯定',\n",
       " '成功',\n",
       " '希望',\n",
       " '越来越',\n",
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       " '默默',\n",
       " '喜欢',\n",
       " '偶像',\n",
       " '讨厌',\n",
       " '不会',\n",
       " '默默',\n",
       " '讨厌',\n",
       " '没嘉行',\n",
       " '当然',\n",
       " '可以',\n",
       " '默默',\n",
       " '喜欢',\n",
       " '资本',\n",
       " '冰冷',\n",
       " '无情',\n",
       " '效率',\n",
       " '极高',\n",
       " '资本',\n",
       " '看到',\n",
       " '每次',\n",
       " '投票',\n",
       " '看到',\n",
       " '每次',\n",
       " '投票',\n",
       " '我们',\n",
       " '现在',\n",
       " '就是',\n",
       " '未来',\n",
       " '内容',\n",
       " '市场',\n",
       " '样子',\n",
       " '况且',\n",
       " '不要',\n",
       " '默默',\n",
       " '喜欢',\n",
       " '因为',\n",
       " '讨厌',\n",
       " '不会',\n",
       " '默默',\n",
       " '讨厌',\n",
       " '所以',\n",
       " '粉丝',\n",
       " '那么',\n",
       " '努力',\n",
       " '数据',\n",
       " '原因',\n",
       " '既然',\n",
       " '想要',\n",
       " '看到',\n",
       " '想要',\n",
       " '一直',\n",
       " '金字塔',\n",
       " '顶尖',\n",
       " '付出代价',\n",
       " '期间',\n",
       " '三生',\n",
       " '翻译官',\n",
       " '证人',\n",
       " '喜欢',\n",
       " '杨幂',\n",
       " '代言',\n",
       " '质量',\n",
       " '蛮高',\n",
       " '雅诗兰黛',\n",
       " '全球',\n",
       " 'sw',\n",
       " '全球',\n",
       " '阿迪',\n",
       " '泼司',\n",
       " '觉得',\n",
       " '底线',\n",
       " '成为',\n",
       " '资本',\n",
       " '为了',\n",
       " '拍戏',\n",
       " '自由',\n",
       " '既然',\n",
       " '博主',\n",
       " '分析',\n",
       " '那么',\n",
       " '评论',\n",
       " '里面',\n",
       " '粉丝',\n",
       " '奇怪',\n",
       " '画皮',\n",
       " '时候',\n",
       " '没有',\n",
       " '嘉行',\n",
       " '三年',\n",
       " '剧本',\n",
       " '其实',\n",
       " '不错',\n",
       " '除了',\n",
       " '怦然心动',\n",
       " '粉丝',\n",
       " '电影',\n",
       " '其他',\n",
       " '三生',\n",
       " '三世',\n",
       " '证人',\n",
       " '翻译官',\n",
       " '绣春刀',\n",
       " '逆时',\n",
       " '营救',\n",
       " '宝贝儿',\n",
       " '甚至',\n",
       " '综艺',\n",
       " '真正',\n",
       " '男子汉',\n",
       " '质量',\n",
       " '其实',\n",
       " '赌前',\n",
       " '至于',\n",
       " '口碑',\n",
       " '这个',\n",
       " '东西',\n",
       " '一路',\n",
       " '走来',\n",
       " '本来',\n",
       " '就是',\n",
       " '黑红',\n",
       " '出来',\n",
       " '质量',\n",
       " '不好',\n",
       " '其他人',\n",
       " '更是',\n",
       " '笑话',\n",
       " '虽然',\n",
       " '时间',\n",
       " '线错',\n",
       " '但是',\n",
       " '一直',\n",
       " '觉得',\n",
       " '成年人',\n",
       " '相处',\n",
       " '无非',\n",
       " '就是',\n",
       " '稳定',\n",
       " '人际关系',\n",
       " '成熟',\n",
       " '利益',\n",
       " '分割',\n",
       " '毕竟',\n",
       " '从来',\n",
       " '觉得',\n",
       " '自己',\n",
       " '圣母',\n",
       " '不要',\n",
       " '默默',\n",
       " '意欢',\n",
       " '毕竟',\n",
       " '讨厌',\n",
       " '不会',\n",
       " '默默',\n",
       " '讨厌',\n",
       " '这个',\n",
       " '博主',\n",
       " '每次',\n",
       " 'bgm',\n",
       " '带感',\n",
       " '结婚',\n",
       " '五年',\n",
       " '三年',\n",
       " '3.1',\n",
       " '分割',\n",
       " '45',\n",
       " '顶住',\n",
       " '巨大',\n",
       " '压力',\n",
       " '还有',\n",
       " '几场',\n",
       " '官司',\n",
       " '现在',\n",
       " '青春',\n",
       " '未逝',\n",
       " '后代',\n",
       " '已生',\n",
       " '一切',\n",
       " '稳固',\n",
       " '有声有色',\n",
       " '赢家',\n",
       " '杨幂',\n",
       " '现在',\n",
       " '眼神',\n",
       " '透露',\n",
       " '聪明',\n",
       " '狐狸',\n",
       " '真的',\n",
       " '当初',\n",
       " '接受',\n",
       " '采访',\n",
       " '大大方方',\n",
       " '就是',\n",
       " '言行一致',\n",
       " '讨厌',\n",
       " '起来',\n",
       " '一直',\n",
       " '觉得',\n",
       " '范冰冰',\n",
       " '路子',\n",
       " '为了',\n",
       " '目的',\n",
       " '可以',\n",
       " '不择手段',\n",
       " '怎么样',\n",
       " '资本',\n",
       " '权衡利弊',\n",
       " '现在',\n",
       " '很多',\n",
       " '人想',\n",
       " '改变',\n",
       " '科技',\n",
       " '驱动',\n",
       " '改变',\n",
       " '资本',\n",
       " '驱动',\n",
       " '局面',\n",
       " '无异于',\n",
       " '第四次',\n",
       " '工业革命',\n",
       " '不想',\n",
       " '明星',\n",
       " '房市',\n",
       " '杨幂',\n",
       " '加油',\n",
       " '分析',\n",
       " '片面',\n",
       " '大家',\n",
       " '出来',\n",
       " '时间',\n",
       " '混乱',\n",
       " '同时',\n",
       " '几个',\n",
       " '11',\n",
       " '12',\n",
       " '15',\n",
       " '之后',\n",
       " '所谓',\n",
       " '根本',\n",
       " '扯不上',\n",
       " '所以',\n",
       " '什么',\n",
       " '为了',\n",
       " '资本',\n",
       " '过度',\n",
       " '曝光',\n",
       " '自己',\n",
       " '成立',\n",
       " '蜜蜂',\n",
       " '试问',\n",
       " '一下',\n",
       " '自己',\n",
       " '杨幂',\n",
       " '最累',\n",
       " '几年',\n",
       " '成立',\n",
       " '公司',\n",
       " '之前',\n",
       " '之后',\n",
       " '明显',\n",
       " '节奏',\n",
       " '放慢',\n",
       " '存在',\n",
       " '串组',\n",
       " '行为',\n",
       " '这里',\n",
       " '只有',\n",
       " '资本',\n",
       " '利弊',\n",
       " '不看',\n",
       " '什么',\n",
       " '辛苦',\n",
       " '或者',\n",
       " '付出',\n",
       " '粉丝',\n",
       " '能别',\n",
       " '彩虹',\n",
       " '前期',\n",
       " '后期',\n",
       " '确实',\n",
       " '一样',\n",
       " '巫师',\n",
       " '可以',\n",
       " '讲讲',\n",
       " '差不多',\n",
       " '同期',\n",
       " '上市',\n",
       " '开心',\n",
       " '麻花',\n",
       " '感觉',\n",
       " '那个',\n",
       " '成功',\n",
       " '这个',\n",
       " '系列',\n",
       " '真是',\n",
       " '打开',\n",
       " '新世界',\n",
       " '娱乐圈',\n",
       " '背后',\n",
       " '资本',\n",
       " '市场',\n",
       " '血雨腥风',\n",
       " '博弈',\n",
       " '斗争',\n",
       " '真是',\n",
       " '娱乐圈',\n",
       " '面上',\n",
       " '八卦',\n",
       " '故事',\n",
       " '惊险',\n",
       " '好看',\n",
       " '很多',\n",
       " '其实',\n",
       " '这么',\n",
       " '多年',\n",
       " '很多',\n",
       " '东西',\n",
       " '面上',\n",
       " '明白',\n",
       " '太难',\n",
       " '不过',\n",
       " '还好',\n",
       " '对于',\n",
       " '这个',\n",
       " '圈子',\n",
       " '本来',\n",
       " '资本',\n",
       " '不是',\n",
       " '什么',\n",
       " '不好',\n",
       " '多一份',\n",
       " '资本',\n",
       " '博弈',\n",
       " '胜算',\n",
       " '多一份',\n",
       " '底气',\n",
       " '可是',\n",
       " '赌是',\n",
       " '需要',\n",
       " '代价',\n",
       " '来偿',\n",
       " '心疼',\n",
       " '担心',\n",
       " '但是',\n",
       " '自己',\n",
       " '觉得',\n",
       " '什么',\n",
       " '毛病',\n",
       " '说白了',\n",
       " '能手',\n",
       " '资本',\n",
       " '喜欢',\n",
       " '一步',\n",
       " '喜欢',\n",
       " '做到',\n",
       " '完美',\n",
       " ...]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "segment=[]\n",
    "for index, row in df.iterrows():\n",
    "    segs=jieba.cut(row[1])\n",
    "    for seg in segs:\n",
    "        if len(seg)>1 and seg!='\\r\\n':\n",
    "            segment.append(seg)\n",
    "\n",
    "segment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "words_df=pandas.DataFrame({'segment':segment})\n",
    "words_df.head()\n",
    "stopwords=pandas.read_csv(\"stopwords.txt\",index_col=False,quoting=3,sep=\"\\t\",names=['stopword'],encoding=\"utf8\")\n",
    "words_df=words_df[~words_df.segment.isin(stopwords.stopword)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/xingqianli/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: FutureWarning: using a dict on a Series for aggregation\n",
      "is deprecated and will be removed in a future version\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "words_stat=words_df.groupby(by=['segment'])['segment'].agg({\"计数\":numpy.size})\n",
    "words_stat=words_stat.reset_index().sort_values(\"计数\",ascending=False)\n",
    "#words_stat.to_excel('counts.xlsx',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<wordcloud.wordcloud.WordCloud at 0x11c4589e8>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "wordcloud=WordCloud(font_path=\"simhei.ttf\",background_color=\"black\")\n",
    "wordcloud=wordcloud.generate_from_frequencies(dict(words_stat.head(1000).itertuples(index=False)))\n",
    "plt.imshow(wordcloud)\n",
    "plt.show()\n",
    "wordcloud.to_file(\"test.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/xingqianli/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:5: DeprecationWarning: `imread` is deprecated!\n",
      "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n",
      "Use ``imageio.imread`` instead.\n",
      "  \"\"\"\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<wordcloud.wordcloud.WordCloud at 0x11c53bd68>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.misc import imread\n",
    "import matplotlib.pyplot as plt\n",
    "from wordcloud import WordCloud,ImageColorGenerator\n",
    "%matplotlib inline\n",
    "bimg=imread('tre.jpeg')\n",
    "wordcloud=WordCloud(background_color=\"white\",mask=bimg,font_path='simhei.ttf')\n",
    "wordcloud=wordcloud.fit_words(dict(words_stat.head(4000).itertuples(index=False)))\n",
    "bimgColors=ImageColorGenerator(bimg)\n",
    "plt.axis(\"off\")\n",
    "plt.imshow(wordcloud.recolor(color_func=bimgColors))\n",
    "plt.show()\n",
    "wordcloud.to_file(\"tree.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "female,male=0,0\n",
    "for index, row in df.iterrows():\n",
    "    if row[2]=='m': \n",
    "        male+=1\n",
    "    elif row[2]=='f': \n",
    "        female+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1161"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3471"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "female"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "name_list = [\"Boy\",'Girl']\n",
    "num_list = [male,female]\n",
    "plt.bar(range(len(num_list)), num_list,color='r',tick_label=name_list)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
